Security Scan Report: pannlampahugo-61bjbugn9m.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 13 domains to perform 20 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://pannlampahugo-61bjbugn9m.edgeone.app/22277-how-to-get-into-real-estate-on-a-small-salary-or-little-to-no-savings-according-to-6-successful-inv.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site appears low risk with no phishing or malware indicators, though the subdomain is newly created and JavaScript is heavily obfuscated.

Risk Factors (2)
Low domain ranking (outside top 100K)
High JavaScript obfuscation score (not linked to malware)
Safety Factors (4)
No credential or payment forms
No malicious Indicators of Compromise
Page type is article (informational content)
No external malicious links or IoC domains
Domain age information unavailable

Details

Page Title

How to get into real estate on a small salary or little to no savings, according to 6 successful inv

Scan Type

public

Domain Name Analysis

You're looking at domain 'pannlampahugo-61bjbugn9m.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'pannlampahugo-61bjbugn9m'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Segmentation suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pannlampahugo-61bjbugn9m.edgeone.app/22277-how-to-get-into-real-estate-on-a-small-salary-or-little-to-no-savings-according-to-6-successful-inv.html

Page Load Overview

12.34s
Total Load Time
147 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:6,787 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
78%
finance banking
63%
education learning
61%
forum community discussion
59%
news media journalism
57%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.66.169.241United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
2172.240.127.234United States
AS7979Servers.com, Inc.
2192.178.183.95United States
AS15169Google LLC
2142.251.20.94United States
AS15169Google LLC
207--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124820A17F280123C2B210141B5C5BBBDBF5AD42FD3925CE4ADAAD32A93C65CB49776C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KhnYf8zX+EDJKJCJ/ch8dOmJU1/M2UOxBLTMEVvLQFYYrWag4MDw:Khnz+E7JUyO/he2tbVjQmYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18594:CEZ7gJmiDFBiggAGXkDQAsgdgSCFNpRLIBFuRDEkCiKC9kTGIwAYWxRkQoFhXQsBQNGA0MgMqRCIlDAzAJGglAQBLJmAoQUA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:0000003c383820ff
Perceptual Hash:c22cbc4edc46ed0e
Difference Hash:e1c9c1c1d1d1c1c9
Wavelet Hash:30003c7c3c3c7cff
Color Hash:#862d83

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data